The Blue Fermion Blueprint delivers actionable AI transformation strategies grounded in physics-grade rigor. Each episode bridges the gap between visionary AI ideas and measurable business impact, featuring real-world case studies and practical frameworks for executives navigating the Fourth Industrial Revolution.
9 Episodes Hosted by Patrick Deglon
Get feedback from 18 distinct personasâskeptical engineers, empathetic counselors, busy executivesâin a single API call. Learn how the Council API brings diverse perspectives to content evaluation and streamlines your creation process.
Token pricing is just the tip of the iceberg. Discover the five hidden cost bucketsâretries, context waste, latency churn, debugging time, and opportunity costâand how observability can slash your LLM spend by 74%.
What happens when AI and robots take 80% of the jobs? This isn't a dystopian questionâit's the next great human project. Dive into the 'Unscarcity' blueprint: a concrete plan to engineer a future of universal abundance, moving humanity from survival to significance.
Teams are shipping LLM workflows fast but 'flying blind,' leading to massive API bills and compliance gaps. Discover the zero-code fix: a URL replacement proxy that provides instant visibility, slashes API costs by 50-90%, catches hallucinations before they reach customers, and generates enterprise-ready audit reports.
Ever seen an important project stall for no clear reason? The problem often isn't the roadmap or the talentâit's a hidden trust failure. Explore the four dimensions of trust (Reliability, Credibility, Intimacy, Unselfishness) and learn how to turn 'fuzzy' interpersonal issues into actionable data.
Why do so many brilliant data and AI initiatives stall? This episode tackles the 'recurring nightmare' of analytics projects stuck in process drag. Explore the four stages of analytics evolution and discover the three key mechanisms to break the logjam: empowering the user, the agentic leap, and the mixed control model.
What happens when a CERN physicist joins eBay and points the collider at marketing data? Patrick Deglon recounts how he built Mirror Analysisâa particle-physics experiment disguised as an attribution model. By treating clicks and purchases like particle tracks, he separated noise from causality and proved that most 'marketing impact' was illusion.
How a $200 Orange Pi, six AI personas, and a handful of n8n workflows became a fully automated YouTube Shorts history channel. What started as a courtside experiment at a basketball practice became a living lab for generative AI, prompt engineering, and creative automation.
What happens when data scientists, not marketers, call the shots? Patrick Deglon recounts the real story behind eBay's landmark paid search experiment that shook Silicon Valley's faith in attribution models and rewrote the economics of digital marketing. Discover how applying the physics mindsetâcontrol, calibration, causalityâcan save millions.